Research & Data Analysis25 / 201 projects

微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。

An autonomous agent that conducts deep research on any data using any LLM providers

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

The first "code-first" agent framework for seamlessly planning and executing data analytics tasks.

DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师，自动分析大量数据，一键生成专业分析报告！

A library of reinforcement learning components and agents

A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.

The open-source AI workbench for scientific research

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google's Gemini 2.5 Flash and OpenAI's GPT-5.1 on the backend for inference.

(Supports DeepSeek R1) An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models.

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.

PaSa -- an advanced paper search agent powered by large language models. It can autonomously make a series of decisions, including invoking search tools, reading papers, and selecting relevant references, to ultimately obtain comprehensive and accurate results for complex scholarly queries.

ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, or other AI agents to query analytical databases accurately and with full context of your company

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

🔬🦞 A self-evolving AI research colleague for scientists. 285 skills, zero hallucination, persistent memory.

ScienceClaw is a personal research assistant built with LangChain DeepAgents and AIO Sandbox infrastructure, adopting a completely new architecture beyond OpenClaw. It offers stronger security, better transparency, and a more user-friendly experience.

🔥 AI-powered deep research tool that breaks down complex queries, validates answers, and provides cited comprehensive results using Firecrawl and LangGraph

Free & open-source AI research-paper writer: 19 agents draft 20k-word academic papers in ~10 min with citations verified against CrossRef/OpenAlex/arXiv. Export PDF/Word/LaTeX. Hosted at openpaper.dev

A completely private, locally-operated Ai Assistant/Chatbot/Sub-Agent Framework with realistic Long Term Memory and thought formation using Open Source LLMs. Qdrant is used for the Vector DB.

ResearchClaw is a personal AI assistant built for research: fast to set up, easy to run locally or in the cloud, and ready to integrate with the chat apps you already use. With extensible skills, it helps you streamline literature review, note-taking, experiment tracking, and paper writing—end to end.

A collection of 2025 agentic workflows built in n8n. Showcases manual multi-model orchestration, RAG-to-SQL, and autonomous research pipelines developed before the era of standardized agentic protocols (MCP).

CoDA-Bench is a benchmark for code agents on data-intensive tasks.